SOI: SIGAI Statement of Interest Activity

Weekly Activity that works as a Statement Of Interest in joining the SIGAI group of the ACM-UTEC Chapter.

The Activity

Every week, every member of SIGAI have to select between:

• Enroll to one of any Coursera Guided Projects related to AI, finish it and share their certificate of completion with us.
• Enroll to our current Core Learning course on Machine Learning or Deep Learning.

Every Coursera Guided Project lasts from 1 to 3 hours whereas our Core Learning courses last 4 hours average. We are considering taking this amount of time once a week as an statement of interest of their will to be an active member of the SIGAI.

Guidelines

1. This activity add 5 + i participation points (PP) to every member of SIGAI, these points are valid in the context of our gamified impementation of SIGAI Membership at ACM-UTEC kown as "Real Involvement Environment (RIE)".
2. i values for Coursera Guided Projects are:
   • 0 for Beginner Level Projects
   • 1 for Intermediate Level Projects
   • 2 for Advanced Level Projects
3. i equals 1 for Core Learning courses.
4. Completion of this activity are checked every Monday at 00:00 for Guided Projects and Core Learning.
5. Specific cases nor listed above are subject to discussion in a SIGAI staff meeting.

Rules

1. You can choose any day of the week in progress at any hour to complete this activity.
2. For Guided Projects is mandatory to complete all Beginner Level projects to unlock Intermediate Level projects. The same applies to Advanced Level projects.
3. For Core Learning, evaluation consists on time spend and activities took at the LMS.

Available Guided Projects

Name	Time (hours)	Level	Topics	PP
Create Your First Chatbot with Rasa and Python	2	Beginner	NLU, Chatbot Dev	5
NLP: Twitter Sentiment Analysis	2	Beginner	NLP, Naive Bayes	5
Deep Learning NLP: Training GPT-2 from scratch	2	Beginner	NLP, Transformers	5
Fake News Detection with Machine Learning	2	Beginner	NLP, RNNs, LSTM	5
Basic Image Classification with TensorFlow	2	Beginner	NNs, Tensorflow	5
English/French Translator: Long Short Term Memory Networks	1.5	Beginner	NLP, RNNs, LSTM	5
Facial Expression Classification Using Residual Neural Nets	2	Beginner	DNNs, CNNs	5
Mining Quality Prediction Using Machine & Deep Learning	1.5	Beginner	Regression	5
Transfer Learning for Food Classification	2	Beginner	CNNs, Transfer Learning	5
Regression with Automatic Differentiation in TensorFlow	1.5	Beginner	Regression, Tensorflow	5
...	...	...	...	...

Available Core Learning Courses

Name	Time (hours)	Level	Topics	PP
Machine Learning Práctico	4	Beginner	General Machine Learning	5+1
...	...	...	...	...

Schedule

Activity	Date
SOI and RIE (codename CPI) announced	Early October 2020
SOI under RIE fully discused and explained	06/11/20
SOI #1 (1st week)	9/11/20 - 15/11/20
SOI #2 + SOI #1 Evaluation period	16/11/20 - 22/11/20
SOI #1 Results	23/11/20
SOI #3 + SOI #2 Evaluation period	23/11/20 - 29/11/20
SOI #2 Results	30/11/20
SOI #4 + SOI #3 Evaluation period	30/11/20 - 06/12/20
SOI #3 Results	07/12/20
SOI #4 Evaluation Period + Results	07/12/20 - 10/12/20
RIE #1 Hall Of Fame Event	11/12/20

Getting Started section in progress. Available Projects and Courses are subject to changes.